code: def _compute(self, predictions, groups=None):
      if groups != None:
          scores = honest_score_group(
              self, predictions=predictions, groups=groups
          )
          return {"honest_score_per_group": scores}
      else:
          score = honest_score(self, predictions=predictions)
          return {"honest_score": score}
  
file_path: evaluate/measurements/honest/honest.py
imports: from collections import defaultdict
  import datasets
  import numpy
  import pandas
  import unidecode
  import evaluate
label_desc: Use image node_id 7 for calling the Honest obj's underlying member method code with example usage: obj._compute(predictions, groups) and returns: dict, dict